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Computability and Randomness (Oxford Logic Guides) [Hardcover]

André Nies

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Book Description

29 Jan 2009 0199230765 978-0199230761
The interplay between computability and randomness has been an active area of research in recent years, reflected by ample funding in the USA, numerous workshops, and publications on the subject. The complexity and the randomness aspect of a set of natural numbers are closely related. Traditionally, computability theory is concerned with the complexity aspect. However, computability theoretic tools can also be used to introduce mathematical counterparts for the intuitive notion of randomness of a set. Recent research shows that, conversely, concepts and methods originating from randomness enrich computability theory.

Covering the basics as well as recent research results, this book provides a very readable introduction to the exciting interface of computability and randomness for graduates and researchers in computability theory, theoretical computer science, and measure theory.

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Review


"A great introduction to the field. It is well written and moves systematically to advanced topics. It can be used both as a reference and as a text book for a one-semester course in advanced algorithmic randomness and computability theory."--Computing Reviews


About the Author


PhD, Mathematics, Univ. of Heidelberg, Germany, 1992
Univ of Wisconsin, Madison 1994
Cornell University 1995
Univ of Chicago 1995-2001
Habilitation, Univ. of Heidelberg, 1998
Univ of Auckland 2002-present.
60 journal and conference publications.
Invited Speaker, International Congress of Mathematicians, Hyderabad 2010
--This text refers to an out of print or unavailable edition of this title.

Inside This Book (Learn More)
First Sentence
We study the complexity of sets of natural numbers. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index
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Amazon.com: 5.0 out of 5 stars  3 reviews
5 of 6 people found the following review helpful
5.0 out of 5 stars Review of Computability and Randomness, by Andre Nies 7 April 2009
By Stephen G. Simpson - Published on Amazon.com
Format:Hardcover
The book is intended for graduate students and researchers in mathematical logic, foundations of mathematics, and theoretical computer science. It includes a detailed treatment of Turing's theory of computability and unsolvability as subsequently developed by Kleene, Post, Friedberg, and many other researchers up to the present. The book starts at the beginning and moves systematically to advanced material. The majority of the book is devoted to currently active research topics: algorithmic randomness (Martin-Lof, Kucera, ...) and string complexity (Kolmogorov, Chaitin, Levin, ...). Professor Nies is a leading researcher in these areas, and their treatment here is encyclopedic. The book is very timely, very well written, and very authoritative. Bravo!
1 of 1 people found the following review helpful
5.0 out of 5 stars Clear proofs of results in algorithmic randomness 31 Jan 2010
By Bjoern Kjos-hanssen - Published on Amazon.com
Format:Hardcover
This book is currently *the* place to find clear proofs of results in the area of algorithmic randomness. The author borrows a "page" from Sipser's Introduction to the Theory of Computation, prefacing each detailed proof with a "proof idea" paragraph. Actually, that book would be a useful prequel to the study of Nies' book, although many readers would also want to include a study of e.g. the first chapters of Soare's Recursively Enumerable Sets and Degrees: A Study of Computable Functions and Computably Generated Sets (Perspectives in Mathematical Logic) before being ready for "Computability and Randomness". One hopes that the next edition of this book will use a larger font and larger margins.
1 of 3 people found the following review helpful
5.0 out of 5 stars Synergy between algorithmic randomness and computability theory exposed 23 Feb 2010
By H. Zenil - Published on Amazon.com
Format:Hardcover
André Nies provides an unvaluable up to date introduction to the field of randomness in connection to computability. The book can be used both as a reference and as a textbook for a one-semester course in advanced algorithmic randomness and computability theory. Read the full review online from the (ACM) Reviews.com (requires password)[...]
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